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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 3450
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    Explanations

    variety of symbols and formatting elements

    oai_token-act-pair · gpt-3.5-turbo

    special characters and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogene
    -0.83
    istar
    -0.79
    igon
    -0.78
    ural
    -0.77
    enium
    -0.74
    unci
    -0.74
    anity
    -0.73
    unia
    -0.73
    apan
    -0.72
    omm
    -0.71
    POSITIVE LOGITS
    ï¸ı
    1.33
    âĺĨ
    1.21
    âĺħâĺħ
    1.15
    âĹ
    1.15
    âĺħ
    1.13
    âĢ¢âĢ¢
    1.11
    âĹı
    1.11
    âĻ¦
    1.10
    ł
    1.09
    ï¸
    1.07
    Activations Density 0.006%

    No Known Activations